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Wenxin Jiang 0001
Person information
- affiliation: Purdue University, Department of Electrical & Computer Engineering, West Lafayette, IN, USA
Other persons with the same name
- Wenxin Jiang — disambiguation page
- Wenxin Jiang 0002 — Fred Hutchinson Cancer Research Center, Seattle, WA, USA (and 1 more)
- Wenxin Jiang 0003 — Northwestern University, Department of Statistics, Evanston, IL, USA (and 1 more)
- Wenxin Jiang 0004
— North University of China, Key Laboratory of Advanced Manufacturing Technology, Taiyuan, China
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2020 – today
- 2024
- [c8]Wenxin Jiang
, Jerin Yasmin
, Jason Jones
, Nicholas Synovic
, Jiashen Kuo
, Nathaniel Bielanski
, Yuan Tian
, George K. Thiruvathukal
, James C. Davis
:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. MSR 2024: 431-443 - [i13]Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. CoRR abs/2402.00699 (2024) - [i12]James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR abs/2404.16688 (2024) - [i11]Vishal Purohit, Wenxin Jiang, Akshath R. Ravikiran, James C. Davis:
A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden. CoRR abs/2404.18801 (2024) - [i10]Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. CoRR abs/2406.08205 (2024) - 2023
- [c7]Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE 2023: 2463-2475 - [c6]James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA 2023: 17-30 - [c5]Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR 2023: 57-61 - [i9]Diego Montes, Pongpatapee Peerapatanapokin, Jeff Schultz, Chengjun Guo, Wenxin Jiang, James C. Davis:
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability. CoRR abs/2303.02551 (2023) - [i8]Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR abs/2303.02552 (2023) - [i7]Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision. CoRR abs/2303.07476 (2023) - [i6]Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR abs/2303.08934 (2023) - [i5]Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR abs/2303.17708 (2023) - [i4]Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, James C. Davis:
Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs. CoRR abs/2310.01642 (2023) - [i3]Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis:
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. CoRR abs/2310.03620 (2023) - 2022
- [c4]Nicholas M. Synovic
, Matt Hyatt
, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang
, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer
, Nicholas J. Hayward, Neil Klingensmith, James C. Davis
, George K. Thiruvathukal
:
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE 2022: 167:1-167:4 - [c3]Wenxin Jiang
, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis
:
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS 2022: 105-114 - [c2]Diego Montes, Pongpatapee Peerapatanapokin, Jeff Schultz, Chengjun Guo, Wenxin Jiang
, James C. Davis:
Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability. ESEC/SIGSOFT FSE 2022: 1605-1609 - [c1]Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang
, James C. Davis, Kyuin Lee, Younghyun Kim:
Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. HotMobile 2022: 128 - [i2]Nicholas Synovic, Matt Hyatt
, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal:
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR abs/2207.11767 (2022) - 2021
- [i1]Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. CoRR abs/2107.00821 (2021)
Coauthor Index
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last updated on 2024-08-23 19:26 CEST by the dblp team
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